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AI Lessons from the Nonprofit Sector (Nathan Chappell)


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Organizations across all sectors are increasingly exploring with and implementing artificial intelligence, with significant opportunities and complex challenges abound. How should organizations deal with the concerning ethical considerations and the potential for unintended consequences? How can they minimize risk and help ensure that AI systems are developed and deployed responsibly?

In this episode, we speak with Nathan Chappell, Senior Vice President of DonorSearch AI and founder of Fundraising AI. A leading voice in the application of artificial intelligence for social good, Nathan shares his expert perspective on how nonprofit organizations are navigating the AI landscape with a strong emphasis on ethical practices. He discusses the distinctions between AI usage in for-profit and nonprofit contexts, the vital need for widespread AI literacy and concrete steps organizations can take to cultivate trustworthy and beneficial AI solutions.

About the guest: Nathan is the Senior Vice President of DonorSearch AI, where he leads enterprise AI strategies for some of the nation’s most innovative nonprofit organizations. Nathan is the founder of Fundraising.AI, a 6,000-plus member collaborative dedicated to advancing responsible and ethical AI use in fundraising. With over 20 years of nonprofit leadership experience, he has spearheaded multi-billion-dollar campaigns and now focuses on helping mission-driven organizations scale impact through responsible technology. Nathan is also a prolific author and public speaker. He co-authored The Generosity Crisis and Nonprofit AI, and was the first to deliver a TEDx talk on AI and the future of generosity.

You can find Nathan’s latest book here: https://www.amazon.com/Nonprofit-Comprehensive-Implementing-Artificial-Intelligence/dp/139431664X/

Hosted by David Carty

Produced by David Carty, Samsu Sallah and Joe Stella

Graphic design by Karley Searles

To contact the producers, please email us at [email protected].

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Ready, Test, Go.By Applause